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Proceedings Paper

An improved algorithm for restoration of the image motion blur
Author(s): Wenshuo Gao; Lei Yang; Weiwei Zheng; Xiaoyu Wu
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Paper Abstract

This paper presents an improved algorithm for the image motion restoration by combining Wiener filtering with image histogram Equalization. We take the following steps to recover a uniform rectilinear motion image blur: Firstly, the parameter in the process of image degradation is determined on its spectrograph (Point Spread Function, PSF); Secondly, putting the PSF back into the Wiener filter's formula is to design the appropriate parameter y; Finally, the Wiener filtering method and the histogram equalization are integrated to form an improved Wiener filter algorithm for restoring uniform motion image blur. Experimental results show that visual comparison of images through experiments, improved the recovery algorithm to be significantly better than average effect of Wiener filtering method.

Paper Details

Date Published: 26 February 2010
PDF: 9 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461W (26 February 2010); doi: 10.1117/12.855129
Show Author Affiliations
Wenshuo Gao, Communication Univ. of China (China)
Lei Yang, Communication Univ. of China (China)
Weiwei Zheng, Communication Univ. of China (China)
Xiaoyu Wu, Communication Univ. of China (China)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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